Kuorimon automaatiojärjestelmän optimointi

Työn tavoitteena oli pienentää kuorinnassa syntyviä puuhäviöitä ja parantaa linjan käytettävyyttä nykyaikaisella puunkuorimolla. Tavoitteet toteutettiin automaatiojärjestelmään tehdyillä muutoksilla. Rumpukuorintaprosessi on säilynyt pitkään samanlaisena. Viime vuosina on markkinoille tullut uusia älykkäitä mittalaitteita ja optimointiin kykeneviä säätöjärjestelmiä. Uudenlaisella automaatiotekniikalla on mahdollista mitata kuorintatulosta ja kuorinnassa syntyneitä puuhäviöitä reaaliaikaisesti. Laaduntarkkailun lisäksi tietoja hyödynnetään kuorintaprosessin automaattisessa ohjauksessa. Optimaalisen kuorintatuloksen saavuttaminen edellyttää virheetöntä automaation toimintaa ja tarkkaa viritystä säädöiltä. Työssä perehdyttiin kuorimon perusautomaatioon ja ylemmän tason säädön toimintaan. Prosessinohjauksessa havaitut ongelmakohdat korjattiin. Lopputuloksena saatiin vakiokuorintatehon malli, joka pienentää puuhäviöitä ja parantaa linjaston käytettävyyttä. Saaduilla tuloksilla on merkittävä taloudellinen arvo, ja menetelmät ovat hyödynnettävissä myös toisilla rumpukuorimoilla.

Kolmiulotteinen visualisointi mikromaailman konenäköjärjestelmässä

Työssä oli tarkoituksena saada toteutettua kolmiulotteiseen visualisointiin soveltuva ohjelmisto mikrokokoluokkaa olevien kappaleiden konenäköjärjestelmään. Työssä jouduttiin myös jatkokehittämään menetelmää kolmiulotteisen kuvan hankkimiseksi yhdellä kameralla mikrokokoisesta kohteesta. Kohteen kolmiulotteisella kuvalla voitaisiin suorittaa automaattista järjestelmäohjausta. Työssä tutkittiin ja selvitettiin laitteistolla saavutettavia tarkkuuksia ja nopeuksia, sen soveltamiseksi esimerkiksi mikromanipulaattorin ohjaamiseen. Lisäksi tutkittiin erilaisia kohteita joissa voitaisiin hyödyntää kolmiulotteista visualisointia. Tällaisia kohteita on kappaleiden laadunvalvonnassa tai niiden tutkimisessa ja esittämisessä. Syvyystiedon keräävällä menetelmällä oli saavutettava riittävä nopeus, jotta sillä voitaisiin tarvittaessa ohjata reaaliaikaisesti toimilaitteita. Menetelmänä käytettiin "Depth from Focusing" -menetelmää, johon VTT:llä oli jo aiemmin kehitetty automaattinen fokusointiohjelmisto. Työn puitteissa suoritettiin laitteisto- ja menetelmäkehitystä järjestelmän nopeuttamiseksi. Visualisoinnin toteuttamisen eri mahdollisuuksia kartoitettiin ja sellainen toteutettiin rakennettuun konenäköjärjestelmään.

Reinforcement Learning Approaches to Power System Scheduling

One major component of power system operation is generation scheduling. The objective of the work is to develop efficient control strategies to the power scheduling problems through Reinforcement Learning approaches. The three important active power scheduling problems are Unit Commitment, Economic Dispatch and Automatic Generation Control. Numerical solution methods proposed for solution of power scheduling are insufficient in handling large and complex systems. Soft Computing methods like Simulated Annealing, Evolutionary Programming etc., are efficient in handling complex cost functions, but find limitation in handling stochastic data existing in a practical system. Also the learning steps are to be repeated for each load demand which increases the computation time.Reinforcement Learning (RL) is a method of learning through interactions with environment. The main advantage of this approach is it does not require a precise mathematical formulation. It can learn either by interacting with the environment or interacting with a simulation model. Several optimization and control problems have been solved through Reinforcement Learning approach. The application of Reinforcement Learning in the field of Power system has been a few. The objective is to introduce and extend Reinforcement Learning approaches for the active power scheduling problems in an implementable manner. The main objectives can be enumerated as:(i) Evolve Reinforcement Learning based solutions to the Unit Commitment Problem.(ii) Find suitable solution strategies through Reinforcement Learning approach for Economic Dispatch. (iii) Extend the Reinforcement Learning solution to Automatic Generation Control with a different perspective. (iv) Check the suitability of the scheduling solutions to one of the existing power systems.First part of the thesis is concerned with the Reinforcement Learning approach to Unit Commitment problem. Unit Commitment Problem is formulated as a multi stage decision process. Q learning solution is developed to obtain the optimwn commitment schedule. Method of state aggregation is used to formulate an efficient solution considering the minimwn up time I down time constraints. The performance of the algorithms are evaluated for different systems and compared with other stochastic methods like Genetic Algorithm.Second stage of the work is concerned with solving Economic Dispatch problem. A simple and straight forward decision making strategy is first proposed in the Learning Automata algorithm. Then to solve the scheduling task of systems with large number of generating units, the problem is formulated as a multi stage decision making task. The solution obtained is extended in order to incorporate the transmission losses in the system. To make the Reinforcement Learning solution more efficient and to handle continuous state space, a fimction approximation strategy is proposed. The performance of the developed algorithms are tested for several standard test cases. Proposed method is compared with other recent methods like Partition Approach Algorithm, Simulated Annealing etc.As the final step of implementing the active power control loops in power system, Automatic Generation Control is also taken into consideration.Reinforcement Learning has already been applied to solve Automatic Generation Control loop. The RL solution is extended to take up the approach of common frequency for all the interconnected areas, more similar to practical systems. Performance of the RL controller is also compared with that of the conventional integral controller.In order to prove the suitability of the proposed methods to practical systems, second plant ofNeyveli Thennal Power Station (NTPS IT) is taken for case study. The perfonnance of the Reinforcement Learning solution is found to be better than the other existing methods, which provide the promising step towards RL based control schemes for practical power industry.Reinforcement Learning is applied to solve the scheduling problems in the power industry and found to give satisfactory perfonnance. Proposed solution provides a scope for getting more profit as the economic schedule is obtained instantaneously. Since Reinforcement Learning method can take the stochastic cost data obtained time to time from a plant, it gives an implementable method. As a further step, with suitable methods to interface with on line data, economic scheduling can be achieved instantaneously in a generation control center. Also power scheduling of systems with different sources such as hydro, thermal etc. can be looked into and Reinforcement Learning solutions can be achieved.

Análisis del dictamen No. 023-10-DTI-CC de la Corte Constitucional para el período de transición referente al “Tratado entre la República del Ecuador y la República Federal de Alemania sobre fomento y recíproca protección de inversiones de capital”: (Caso No. 0006-10-TI) [Jurisprudencia]

El presente trabajo analiza de manera crítica el pronunciamiento de la Corte Constitucional para el Período de Transición respecto al control constitucional de las denuncias de tratados bilaterales de inversiones de capital, tomando como caso de estudio el instrumento internacional suscrito entre Ecuador y Alemania, en el cual bajo una corriente constitucionalista, la Corte somete al crisol de la contradicción el contenido del Tratado Internacional con la normativa constitucional vigente. En aquel sentido, analizaremos cómo, a través de este polémico dictamen, se inicia una línea jurisprudencial en la que se configuran temas controversiales como el denominado control automático de constitucionalidad, y, el debate respecto a la soberanía estatal en cuanto al no sometimiento del Ecuador a arbitrajes comerciales internacionales en asuntos de índole comercial.

Power allocation strategies for distributed space-time codes in two-way relay networks

We study a two-way relay network (TWRN), where distributed space-time codes are constructed across multiple relay terminals in an amplify-and-forward mode. Each relay transmits a scaled linear combination of its received symbols and their conjugates,with the scaling factor chosen based on automatic gain control. We consider equal power allocation (EPA) across the relays, as well as the optimal power allocation (OPA) strategy given access to instantaneous channel state information (CSI). For EPA, we derive an upper bound on the pairwise-error-probability (PEP), from which we prove that full diversity is achieved in TWRNs. This result is in contrast to one-way relay networks, in which case a maximum diversity order of only unity can be obtained. When instantaneous CSI is available at the relays, we show that the OPA which minimizes the conditional PEP of the worse link can be cast as a generalized linear fractional program, which can be solved efficiently using the Dinkelback-type procedure.We also prove that, if the sum-power of the relay terminals is constrained, then the OPA will activate at most two relays.

Performance and egg quality of Japanese quails submitted to cyclic heat stress

Aiming at evaluating the influence of cyclic temperatures on the performance and egg quality of Japanese quails an experiment was carried out with 480 birds after egg production peak. Birds were housed in a bioclimatic chamber with automatic temperature control that contained two rooms, one maintained at thermoneutral temperature (21 ºC) and the other adjusted for the tested cyclic temperatures (24, 27, 30, 33 and 36 ºC at a time). Each room had a battery of five floors and ten cages, with a capacity of 24 birds per cage, totaling 240 birds per battery. Birds were fed iso-nutritious and iso-caloric diets. Data obtained under the tested cyclic temperatures were compared with those obtained under thermoneutral temperature. At the end of each experimental period (14 days) performance and egg quality parameters were evaluated. A completely randomized experimental design with two treatments (thermoneutral temperature and tested temperature) and ten replicates of 24 birds each. Cyclic increases of 27 ºC and higher in environmental temperature negatively affected bird performance, with reduced feed intake and consequent reductions in egg weight and mass. A cyclic increase of the environmental temperature to 36 ºC reduced the percentage of saleable eggs and egg production.

The use of shallow seismic reflection technique in near surface exploration of urban sites: An evaluation in the city of SãO Paulo, Brazil

In order to evaluate the use of shallow seismic technique to delineate geological and geotechnical features up to 40 meters depth in noisy urban areas covered with asphalt pavement, five survey lines were conducted in the metropolitan area of São Paulo City. The data were acquired using a 24-bit, 24-channel seismograph, 30 and 100 Hz geophones and a sledgehammer-plate system as seismic source. Seismic reflection data were recorded using a CMP (common mid point) acquisition method. The processing routine consisted of: prestack band-pass filtering (90-250 Hz); automatic gain control (AGC); muting (digital zeroin) of dead/noisy traces, ground roll, air-wave and refracted-wave; CMP sorting; velocity analyses; normal move-out corrections; residual static corrections; f-k filtering; CMP stacking. The near surface is geologically characterized by unconsolidated fill materials and Quaternary sediments with organic material overlying Tertiary sediments with the water table 2 to 5 m below the surface. The basement is composed of granite and gneiss. Reflections were observed from 40 milliseconds to 65 ms two-way traveltime and were related to the silt clay layer and fine sand layer contact of the Tertiary sediments and to the weathered basement. The CMP seismic-reflection technique has been shown to be useful for mapping the sedimentary layers and the bedrock of the São Paulo sedimentary basin for the purposes of shallow investigations related to engineering problems. In spite of the strong cultural noise observed in these urban areas and problems with planting geophones we verified that, with the proper equipment, field parameters and particularly great care in data collection and processing, we can overcome the adverse field conditions and to image reflections from layers as shallow as 20 meters.

Aplicação de observadores e controladores com modos deslizantes no controle da geração

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Efeito da temperatura sobre o desempenho e a qualidade dos ovos de codornas japonesas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Controle discreto com modos deslizantes em sistemas incertos com atraso no sinal de controle

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desempenho de um controlador de fluxo com DGPS para máquinas de pulverização

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Comparação entre metodologias de controle de qualidade em mamografia digital

The best way to detect breast cancer is by screening mammography. The mammography equipments are dedicated and require a rigorous quality control in order to have a good quality image and to early detect this disease. The digital equipment is relatively new in the market and there isn’t a national rule for quality control for several types of digital detectors. This study has proposed to compare two different tests manuals for quality control provided by the manufacturers of digital mammography equipments, and also compare them to the “European guidelines for quality assurance in breast cancer screening and diagnosis “(2006). The studied equipments were: Senographe 2000D from General Electric (GE) and the Hologic Selenia Lorad. Both were digital mammography equipments, the GE unit presents an indirect digital system and the other presents a direct digital system. Physical parameters of the image have been studied, such as spatial resolution, contrast resolution, noise, signal-tonoise ratio, contrast-to-noise ratio and modulation transfer function. After that, a study of the importance of quality control and the requirement to implement a Quality Assurance Program has been done. One data collection was done to compare those manual, it was done by checking which tests are indicated and the minimum frequency which they should be conducted in accordance with each manufacturer. The tests were performed by different methodologies and the results were compared. The examined tests were: the breast entrance skin dose, mean glandular dose, contrast-to-noise ratio, signal-to-noise ratio, automatic exposure control and automatic control of density, modulation transfer function, equipment resolution, homogeneity and ghost

Sistema de Acelerador Linear Comercial para Radioterapia

This paper presents a study about the operation of the major system’s components of a linear particle acclerator (Linac). It addresses the components mainly responsible for the formation of the beam, through the inclusion of several block diagrams showing the details of the structure. Among the systems discussed may be mentioned the system modulator, automatic frequency control, dosimetry and auxiliary systems. The main objective is the dissemination of basic technology applied in linear accelerators and create literature about this subject in national language. Despite the high complexity and large number of devices that comprise a linear accelerator, it has been developed an easy to understand text that adresses the most relevant issues to the operation of the linear accelerator from the point of view of electrical engineering

Valutazione della qualità delle immagini e della dose in multi-slice computed tomography per l'ottimizzazione dei protocolli clinici che impiegano sistemi di modulazione automatica

In questo studio ci siamo proposti di investigare i sistemi di modulazione automatica della dose sui sistemi TC Multislice (Automatic Exposure Control – AEC) da tre diversi produttori, aventi differenti indicatori di qualità delle immagini. Il presente lavoro è stato svolto presso il Servizio di Fisica Sanitaria dell’Azienda Ospedaliera Universitaria - Policlinico Sant’Orsola-Malpighi di Bologna e consiste in un’analisi quantitativa della dose impiegata durante esami di Tomografia Computerizzata Multi-Slice (TCMS) e delle rispettive immagini radiologiche. Le immagini sono state acquisite con : GE LightSpeed VCT 64 e GE LightSpeed 16 (AEC AutomA 3D longitudinale e angolare), Siemens Sensation 16 (AEC CARE Dose 4D combinato), Philips Brilliance 16 e iCT 64 (separati in AEC ZDOM longitudinale e AEC DDOM angolare). Le acquisizioni TCMS sono state effettuate a differenti kV e mA di riferimento, al fine di investigarne gli effetti sulla modulazione, impiegando algoritmi di ricostruzione standard presenti su ogni macchina. Due fantocci antropomorfi simulanti la zona del torace e dell’addome sono stati utilizzati per simulare un paziente standard posizionato come in un esame clinico di routine ; a questo proposito, sono stati impiegati protocolli elicoidali standard con e senza modulazione. Sono inoltre stati testati differenti valori di indice di qualità delle immagini. Il profilo dei mA lungo la lunghezza è stato ottenuto utilizzando ImageJ, un programma open source comunemente utilizzato per l’elaborazione di immagini; i mAs sono stati normalizzati ad un fattore che tiene conto delle differenti geometrie e delle filtrazioni dei diversi scanner tomografici analizzati nell’esperienza. Il rumore è stato valutato tramite la scelta di determinate ROI (Region Of Interest) localizzate in aree il più possibili uniformi disponibili lungo i fantocci. Abbiamo registrato che una variazione del Noise Index o dei mAs di riferimento a seconda della tipologia di macchina analizzata risulta in uno shift dei profili di dose; lo stesso si è verificato quando sono stati cambiato kV o mA nella scout di acquisizione. Sistemi AEC longitudinali e combinati hanno mostrato profili di mAs normalizzati simili tra loro, con valori elevati evidenziati nella zona delle spalle e zona pelvi; sono state osservate differenze del 30-40% tra i differenti scanner tomografici. Solo in un caso di macchina analizzata si è verificato un comportamento opposto rispetto alle altre due tipologie di macchina in esame. A dispetto della differente natura dei sistemi AEC, i risultati ottenuti dai protocolli combinati e longitudinali sono simili tra loro. Il rumore presente nelle immagini è aumentato ad un livello accettabile e la sua uniformità lungo la direzione di scan è migliorata.

Ultra-low-dose dual-source CT coronary angiography with high pitch: diagnostic yield of a volumetric planning scan and effects on dose reduction and imaging strategy

OBJECTIVE To evaluate the role of an ultra-low-dose dual-source CT coronary angiography (CTCA) scan with high pitch for delimiting the range of the subsequent standard CTCA scan. METHODS 30 patients with an indication for CTCA were prospectively examined using a two-scan dual-source CTCA protocol (2.0 × 64.0 × 0.6 mm; pitch, 3.4; rotation time of 280 ms; 100 kV): Scan 1 was acquired with one-fifth of the tube current suggested by the automatic exposure control software [CareDose 4D™ (Siemens Healthcare, Erlangen, Germany) using 100 kV and 370 mAs as a reference] with the scan length from the tracheal bifurcation to the diaphragmatic border. Scan 2 was acquired with standard tube current extending with reduced scan length based on Scan 1. Nine central coronary artery segments were analysed qualitatively on both scans. RESULTS Scan 2 (105.1 ± 10.1 mm) was significantly shorter than Scan 1 (127.0 ± 8.7 mm). Image quality scores were significantly better for Scan 2. However, in 5 of 6 (83%) patients with stenotic coronary artery disease, a stenosis was already detected in Scan 1 and in 13 of 24 (54%) patients with non-stenotic coronary arteries, a stenosis was already excluded by Scan 1. Using Scan 2 as reference, the positive- and negative-predictive value of Scan 1 was 83% (5 of 6 patients) and 100% (13 of 13 patients), respectively. CONCLUSION An ultra-low-dose CTCA planning scan enables a reliable scan length reduction of the following standard CTCA scan and allows for correct diagnosis in a substantial proportion of patients. ADVANCES IN KNOWLEDGE Further dose reductions are possible owing to a change in the individual patient's imaging strategy as a prior ultra-low-dose CTCA scan may already rule out the presence of a stenosis or may lead to a direct transferal to an invasive catheter procedure.